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  Reducing susceptibility distortion related image blurring in diffusion MRI EPI data

Clark, I. A., Callaghan, M. F., Weiskopf, N., Maguire, E. A., & Mohammadi, S. (2021). Reducing susceptibility distortion related image blurring in diffusion MRI EPI data. Frontiers in Neuroscience, 15: 706473. doi:10.3389/fnins.2021.706473.

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 Creators:
Clark , Ian A.1, Author
Callaghan, Martina F.1, Author
Weiskopf, Nikolaus1, 2, 3, Author           
Maguire, Eleanor A.1, Author
Mohammadi, Siawoosh2, 4, Author           
Affiliations:
1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              
4Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              

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Free keywords: Diffusion MRI; Distortion correction; Arithmetic mean; Weighted average; Multi-parameter mapping; G-ratio mapping; Myelin; SPM
 Abstract: Diffusion magnetic resonance imaging (MRI) is an increasingly popular technique in basic and clinical neuroscience. One promising application is to combine diffusion MRI with myelin maps from complementary MRI techniques such as multi-parameter mapping (MPM) to produce g-ratio maps that represent the relative myelination of axons and predict their conduction velocity. Statistical Parametric Mapping (SPM) can process both diffusion data and MPMs, making SPM the only widely accessible software that contains all the processing steps required to perform group analyses of g-ratio data in a common space. However, limitations have been identified in its method for reducing susceptibility-related distortion in diffusion data. More generally, susceptibility-related image distortion is often corrected by combining reverse phase-encoded images (blip-up and blip-down) using the arithmetic mean (AM), however, this can lead to blurred images. In this study we sought to (1) improve the susceptibility-related distortion correction for diffusion MRI data in SPM; (2) deploy an alternative approach to the AM to reduce image blurring in diffusion MRI data when combining blip-up and blip-down EPI data after susceptibility-related distortion correction; and (3) assess the benefits of these changes for g-ratio mapping. We found that the new processing pipeline, called consecutive Hyperelastic Susceptibility Artefact Correction (HySCO) improved distortion correction when compared to the standard approach in the ACID toolbox for SPM. Moreover, using a weighted average (WA) method to combine the distortion corrected data from each phase-encoding polarity achieved greater overlap of diffusion and more anatomically faithful structural white matter probability maps derived from minimally distorted multi-parameter maps as compared to the AM. Third, we showed that the consecutive HySCO WA performed better than the AM method when combined with multi-parameter maps to perform g-ratio mapping. These improvements mean that researchers can conveniently access a wide range of diffusion-related analysis methods within one framework because they are now available within the open-source ACID toolbox as part of SPM, which can be easily combined with other SPM toolboxes, such as the hMRI toolbox, to facilitate computation of myelin biomarkers that are necessary for g-ratio mapping.

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Language(s): eng - English
 Dates: 2021-05-072021-07-092021-08-05
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fnins.2021.706473
Other: eCollection 2021
PMID: 34421526
PMC: PMC8376472
 Degree: -

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Project name : -
Grant ID : 101759/Z/13/Z
Funding program : -
Funding organization : Wellcome Principal Research Fellowship
Project name : -
Grant ID : 203147/Z/16/Z
Funding program : -
Funding organization : Wellcome Centre for Human Neuroimaging
Project name : -
Grant ID : 01EW1711A and B
Funding program : -
Funding organization : Federal Ministry of Education and Research
Project name : -
Grant ID : MO 2397/5- 1; MO 2249/3–1
Funding program : -
Funding organization : German Research Foundation
Project name : -
Grant ID : MO 2397/4- 1
Funding program : -
Funding organization : DFG Emmy Noether
Project name : -
Grant ID : 01fmthh2017
Funding program : -
Funding organization : Forschungszentrums Medizintechnik Hamburg
Project name : -
Grant ID : MR/R000050/1
Funding program : -
Funding organization : Spinal Research Charity
Project name : -
Grant ID : FP7/2007-2013
Funding program : -
Funding organization : European Research Council
Project name : -
Grant ID : 616905
Funding program : -
Funding organization : ERC grant
Project name : -
Grant ID : 681094
Funding program : -
Funding organization : European Union

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Title: Frontiers in Neuroscience
  Other : Front Neurosci
Source Genre: Journal
 Creator(s):
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 15 Sequence Number: 706473 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548